Sphincter-Saving Robotic Total Mesorectal Excision Provides Better Mesorectal Specimen and Good Oncological Local Control Compared with Laparoscopic Total Mesorectal Excision in Male Patients with Mid-Low Rectal Cancer

Introduction: Laparoscopic rectal resection with total mesorectal excision is a technically challenging procedure, and there are limitations in conventional laparoscopy. A surgical robotic system may help to overcome some of the limitations. The aim of our study was to compare long-term oncological outcomes of robotic and laparoscopic sphincter-saving total mesorectal excision in male patients with mid-low rectal cancer

Multiple Classification of Cyber Attacks Using Machine Learning

With the rapid growth of technology, the Internet's use and the number of devices connected to it are growing at a breakneck pace. As a result of this development, network traffic has increased in volume and has become more vulnerable. The focus has been on the development of learning intrusion detection systems in order to detect sophisticated and undetected threats. Because machine learning-based models achieve great accuracy in a short amount of time, they are commonly utilized in intrusion detection systems. Multiple classifications were made in this study to detect assaults on network traffic using machine learning. The model was created using the CICIDS2017 data set, which comprises both current and historical attacks. The high-performance computer was used to rapidly conduct tests on the CICIDS2017 data set, which contains around 2.8 million rows of data. We improved the performance of the machine learning models we developed by cleaning, normalizing, oversampling for an unbalanced number of labels, and reducing the size of the data set using feature selection methods. The random forest, decision tree, logistic regression, and Naive Bayes classifiers were all implemented on the pre-processed data set, and it was observed that the random forest classifier had the highest accuracy of 99.94%

The diagnostic efficiency of multislice CT virtual bronchoscopy in detecting endobronchial tumors

In this study, the diagnostic efficiency of virtual bronchoscopy, which is a new and helpful method to conventional fiberoptic bronchoscopy, has been investigated for endobronchial lung tumors and its clinical applications are discussed. 36 patients with clinically suspected lung cancer (28 males, 8 females, mean age 61; range from 39 to 74) underwent multislice computed tomography (MSCT) virtual bronchoscopy and then conventional bronchoscopy on the same day. For all patients, investigators were uninformed about results of conventional bronchoscopy. Sensitivity, specificity, positive and negative predictive values of virtual bronchoscopy were calculated using conventional bronchoscopy results as standard reference values. In 12 patients, convetional bronchoscopy did not show pathologic findings. In 24 cases pathologic findings were detected; mucosal infiltration was observed in three cases, vegetating lesions were detected in 21 cases. Review of these 21 cases demonstrated preocclusive stenosis in five and various degrees of luminal stenosis in 16 cases. All 21 tumoral lesions observed with conventional bronchoscopy were also detected with virtual bronchoscopy. Retrospective evaluation of six lesions visualized with virtual bronchoscopy but not detected with conventional bronchoscopy showed that they consisted of highly viscous mucous secretion. No abnormalities were detected on both conventional and virtual bronchoscopy in six patients. Three mucosal infiltrations observed on conventional bronchoscopy were not visualised on virtual bronchoscopy. The sensitivity of MSCT virtual bronchoscopy was 88% and specificity was 50% which is concordant with the literature. Positive predictive value, negative predictive value and accuracy was found 78%, 66% and 75%, respectively

The impact of total neo-adjuvant treatment on nonoperative management in patients with locally advanced rectal cancer: The evaluation of 66 cases

Background: The study aimed to assess if adherence to a total-neoadjuvant-treatment (TNT) protocol followed by observation(watch-and-wait) led to the successful nonoperative-management of low-rectal-cancer